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- Tasks: Lead analytics strategies and interpret complex data to drive growth.
- Company: Join a dynamic E-commerce business focused on innovation and success.
- Benefits: Enjoy remote work flexibility and a competitive salary with bonuses.
- Why this job: Be part of a winning team that leverages cutting-edge tech for impactful results.
- Qualifications: Expertise in Amazon data, SQL, and experience in high-growth e-commerce environments required.
- Other info: This is a permanent position with opportunities for professional growth.
The predicted salary is between 42000 - 84000 £ per year.
Senior Data Analyst Remote Permanent Up to £70,000 + 10% Bonus Our client is an E-commerce business looking for a Senior Data Analyst to join permanently. Are you interested in supporting the company’s growth with new tech? Do you have a passion for winning and success? Responsibilities: Lead the development of analytics and data strategies utilising Amazon. Identify, analyse, and interpret trends or patterns within complex data sets. Develop and maintain SQL scripts for data analysis and reporting purposes. Utilize Python for data manipulation, cleaning, and visualization. Collaborate with cross-functional teams to design and implement new data-driven products and features. The full job specification is provided upon request. Skills/ Experience Lead expertise Amazon data (Amazon Seller Central or Amazon sp-API or Amazon seller) SQL High growth/e-commerce environment If interested and for further information, please apply ASAP. Keywords – Amazon marketplace, ecommerce platform, ecommerce analyst, e-commerce analyst
Senior Data Analyst employer: Parker B Associates
Contact Detail:
Parker B Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarize yourself with Amazon Seller Central and the Amazon sp-API. Understanding these platforms will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your SQL skills by working on real-world data sets. Being able to showcase your ability to write complex queries can set you apart from other candidates.
✨Tip Number 3
Gain experience with Python for data manipulation and visualization. Consider contributing to open-source projects or creating your own data analysis projects to highlight your skills.
✨Tip Number 4
Network with professionals in the e-commerce space. Engaging with industry experts can provide insights into the latest trends and may even lead to referrals for the position.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and skills required for the Senior Data Analyst position. Highlight your experience with Amazon data, SQL, and Python in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in e-commerce and data analysis. Use keywords from the job description, such as 'Amazon marketplace' and 'data-driven products', to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to support business growth through technology. Mention specific projects or achievements that demonstrate your expertise in SQL and Python.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Parker B Associates
✨Show Your Passion for E-commerce
Make sure to express your enthusiasm for the e-commerce industry during the interview. Share examples of how you've contributed to growth in previous roles, especially in high-growth environments.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring specific examples of projects where you utilized these skills for data manipulation, cleaning, and visualization.
✨Familiarize Yourself with Amazon Data
Since the role focuses on Amazon data, ensure you understand the nuances of Amazon Seller Central or the Amazon sp-API. Discuss any relevant experience you have with these platforms.
✨Highlight Collaboration Experience
The job requires working with cross-functional teams, so be ready to share instances where you've successfully collaborated with others to design and implement data-driven products or features.
